Vladimir Makarenkov
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T-REX: a web server for inferring, validating and visualizing phylogenetic trees and networks
A Boc, AB Diallo, V Makarenkov
Nucleic Acids Research 40 (W1), W573-W579., 2012
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
M Abdar, F Pourpanah, S Hussain, D Rezazadegan, L Liu, ...
Information Fusion 76, 243-297, 2021
T-REX: reconstructing and visualizing phylogenetic trees and reticulation networks
V Makarenkov
Bioinformatics 17 (7), 664-668, 2001
A new machine learning technique for an accurate diagnosis of coronary artery disease
M Abdar, W Książek, UR Acharya, RS Tan, V Makarenkov, P Pławiak
Computer methods and programs in biomedicine 179, 104992, 2019
Nonlinear redundancy analysis and canonical correspondence analysis based on polynomial regression
V Makarenkov, P Legendre
Ecology 83 (4), 1146-1161, 2002
Optimal variable weighting for ultrametric and additive trees and K-means partitioning: Methods and software
V Makarenkov, P Legendre
Journal of Classification 18 (2), 245-271, 2001
Reconstruction of biogeographic and evolutionary networks using reticulograms
P Legendre, V Makarenkov
Systematic Biology 51 (2), 199-216, 2002
From a phylogenetic tree to a reticulated network
V Makarenkov, P Legendre
Journal of Computational Biology 11 (1), 195-212, 2004
An efficient method for the detection and elimination of systematic error in high-throughput screening
V Makarenkov, P Zentilli, D Kevorkov, A Gagarin, N Malo, R Nadon
Bioinformatics 23 (13), 1648-1657, 2007
Phylogenetic network construction approaches
V Makarenkov, D Kevorkov, P Legendre
Applied mycology and biotechnology 6, 61-97, 2006
Inferring and validating horizontal gene transfer events using bipartition dissimilarity
A Boc, H Philippe, V Makarenkov
Systematic biology 59 (2), 195-211, 2010
DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring
P Pławiak, M Abdar, J Pławiak, V Makarenkov, UR Acharya
Information Sciences 516, 401-418, 2020
Statistical analysis of systematic errors in high-throughput screening
D Kevorkov, V Makarenkov
SLAS Discovery 10 (6), 557-567, 2005
An algorithm for the fitting of a tree metric according to a weighted least-squares criterion
V Makarenkov, B Leclerc
Journal of classification 16 (1), 3-26, 1999
A weighted least-squares approach for inferring phylogenies from incomplete distance matrices
V Makarenkov, FJ Lapointe
Bioinformatics 20 (13), 2113-2121, 2004
CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer
M Abdar, V Makarenkov
Measurement 146, 557-570, 2019
Using the stability of objects to determine the number of clusters in datasets
E Lord, M Willems, FJ Lapointe, V Makarenkov
Information Sciences 393, 29-46, 2017
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning
M Abdar, M Samami, SD Mahmoodabad, T Doan, B Mazoure, ...
Computers in biology and medicine 135, 104418, 2021
Ancestors 1.0: a web server for ancestral sequence reconstruction
AB Diallo, V Makarenkov, M Blanchette
Bioinformatics 26 (1), 130-131, 2010
HTS-Corrector: software for the statistical analysis and correction of experimental high-throughput screening data
V Makarenkov, D Kevorkov, P Zentilli, A Gagarin, N Malo, R Nadon
Bioinformatics 22 (11), 1408-1409, 2006
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